lea (likelihood‐based estimation of admixture): a program to estimate simultaneously admixture and time since the admixture event

We consider an admixture event, T generations in the past, where two ‘parental’ populations, P₁ and P₂, of size N₁ and N₂, contribute different proportions into the gene pool of an admixed population, H of size N_h. lea (likelihood‐based estimator of admixture) is a program which allows the user to obtain the posterior distribution of the parameters of the model. This includes p₁, the contribution of P₁, and t₁, t₂ and t_h, the time since the admixture event (scaled by the population size) for the three populations. lea allows the user to stop and restart the analyses at any time.